Abstract: Methods and systems are provided for detecting coronary lesions in 3D cardiac computed tomography and angiography (CCTA) images using deep neural networks. In an exemplary embodiment, a method for detecting coronary lesions in 3D CCTA images comprises, acquiring a 3D CCTA image of a coronary tree, mapping the 3D CCTA image to a multi-label segmentation map with a trained deep neural network, generating a plurality of 1D parametric curves for a branch of the coronary tree using the multi-label segmentation map, determining a location of a lesion in the branch of the coronary tree using the plurality of 1D parametric curves, and determining a severity score for the lesion based on the plurality of 1D parametric curves.

Abstract: Methods and systems are provided for detecting coronary lesions in 3D cardiac computed tomography and angiography (CCTA) images using deep neural networks. In an exemplary embodiment, a method for detecting coronary lesions in 3D CCTA images comprises, acquiring a 3D CCTA image of a coronary tree, mapping the 3D CCTA image to a multi-label segmentation map with a trained deep neural network, generating a plurality of 1D parametric curves for a branch of the coronary tree using the multi-label segmentation map, determining a location of a lesion in the branch of the coronary tree using the plurality of 1D parametric curves, and determining a severity score for the lesion based on the plurality of 1D parametric curves.

Abstract: Systems and methods are provided for three-dimensional (3D) printing with three-dimensional (3D) model cuts based on anatomy, in particular during medical imaging operations.

Abstract: Methods and systems are provided for detecting coronary lesions in 3D cardiac computed tomography and angiography (CCTA) images using deep neural networks. In an exemplary embodiment, a method for detecting coronary lesions in 3D CCTA images comprises, acquiring a 3D CCTA image of a coronary tree, mapping the 3D CCTA image to a multi-label segmentation map with a trained deep neural network, generating a plurality of 1D parametric curves for a branch of the coronary tree using the multi-label segmentation map, determining a location of a lesion in the branch of the coronary tree using the plurality of 1D parametric curves, and determining a severity score for the lesion based on the plurality of 1D parametric curves.

Abstract: Methods and systems are provided for medical imaging systems. In one embodiment, a method comprises acquiring three-dimensional image data with a three-dimensional imaging modality, generating an image of an anatomical structure within the three-dimensional image data with an angled portion of the anatomical structure rendered as at least partially transparent in the image, and displaying, via a display device, the image to a user. In this way, a three-dimensional anatomical structure, such as a vessel, may be visualized such that a user may view the inner wall without distortion.

Abstract: A method for generating an image of an obtaining a three-dimensional (3D) volume dataset of an object of interest, automatically analyzing the 3D volume dataset to generate a window level setting, automatically generating a window width setting based on the window level setting, and automatically displaying an image of the object of interest using the window width setting. An imaging system and a non-transitory computer readable medium are also described.

Abstract: A computer implemented technique for real-time exploration of a vessel network is disclosed. According to the technique, medical image data of a region of interest (ROI) is accessed and a medical image of the ROI is displayed based on the medical image data. Real-time exploration of vessels of a vessel network associated with the medical image are enabled based on received operator input, so as to provide for generating and displaying a vessel curve preview of a vessel on the medical image based on an operator initiated positioning of a cursor in the medical image, generating and displaying a highlighted vessel curve of a vessel on the medical image based on an operator initiated input, and generating and displaying one or more parameters associated with a vessel based on an operator initiated input. The real-time exploration may be performed with/without any prior vessel validation in the vessel network.

Abstract: A method for generating an image of an obtaining a three-dimensional (3D) volume dataset of an object of interest, automatically analyzing the 3D volume dataset to generate a window level setting, automatically generating a window width setting based on the window level setting, and automatically displaying an image of the object of interest using the window width setting. An imaging system and a non-transitory computer readable medium are also described.

Abstract: A CT radiographic imaging process implements a processing operation on images in order to detect the use of a saline solution. When a saline solution is detected, it extracts a component or a portion of a component that does not appear to be contrasted in the initial images, for example, in the case of cardiac imaging, the right cavity of the heart. The imaging system comprises means for implementing this process.

Abstract: A system and method for blood vessel stenosis visualization and navigation is disclosed. The CT system includes a rotatable gantry having an opening to receive a patient, an x-ray source positioned on the rotatable gantry to project x-rays toward a region-of-interest (ROI) of the patient that includes a plurality of blood vessels, an x-ray detector positioned on the rotatable gantry to receive x-rays emitted by the x-ray source and attenuated by the ROI, and a DAS operably connected to the x-ray detector. The CT system also includes a computer programmed to obtain CT image data for the ROI, reconstruct a 3D image of the plurality of blood vessels from the CT image data, automatically detect pathologies in the plurality of blood vessels, and identify the pathologies in the plurality of blood vessels on the 3D image, with a severity of the pathology being indicated on the 3D image.

Abstract: Systems, methods and computer products for automatically extracting automatically cardiac calcifications and obtaining a centerline in the tracking. Exemplary embodiments include a method of cardiac diagnostics, the method including obtaining coronary tree segmentation to obtain cardiac volume information, splitting the volume into portions to obtain an adjacency graph, computing a mean of a sub-volume of the volume, obtaining gray value segmentation of the sub-volume, defining a centerline of a blood vessel that avoids calcifications within the blood vessel and detecting an actual centerline of the blood vessel and enhancing lumen visualization of the blood vessel.

Abstract: A method to label a vascular tree from an image of an organ or group of organs that is acquired by a medical imaging device. The method includes generating at least one vascular tree model of a determined organ including a database of labels corresponding to each branch of the vascular tree models. The method also includes determining an acquired vascular tree of the organ or group of organs by segmenting the previously acquired image. The method also includes comparing the acquired vascular tree with the vascular tree model(s) of said organ or group of organs. The method also includes displaying the acquired vascular tree and the labels corresponding to the vascular tree model having the closest similarity with the acquired vascular tree.

Abstract: A CT radiographic imaging process implements a processing operation on images in order to detect the use of a saline solution. When a saline solution is detected, it extracts a component or a portion of a component that does not appear to be contrasted in the initial images, for example, in the case of cardiac imaging, the right cavity of the heart. The imaging system comprises means for implementing this process.

Abstract: Systems, methods and computer products for display of the inside of the coronary artery as an intravascular ultrasound (IVUS) view with separation of the lumen of the coronary, the wall of the vessel and calcified plaque. Exemplary embodiments include a cardiac volume rendering method, including obtaining intravascular ultrasound views of a blood vessel, detecting calcifications within the blood vessel, separating components of the blood vessel for display on a graphical user interface, defining several renderings of the components and displaying combinations of the several renderings on the graphical user interface.

Abstract: Systems, methods and computer products for automatically extracting automatically cardiac calcifications and obtaining a centerline in the tracking. Exemplary embodiments include a method of cardiac diagnostics, the method including obtaining coronary tree segmentation to obtain cardiac volume information, splitting the volume into portions to obtain an adjacency graph, computing a mean of a sub-volume of the volume, obtaining gray value segmentation of the sub-volume, defining a centerline of a blood vessel that avoids calcifications within the blood vessel and detecting an actual centerline of the blood vessel and enhancing lumen visualization of the blood vessel.